Statistical Analytics

- Designs, analyzes, implements, and reports findings on targeted statistical research studies; provides consultation to investigators and researchers on experimental design and statistical research approaches, requirements, and scientific standards to advance medical knowledge and improve research in public health. - Works with investigators to formalize analysis plans and reporting specifications; advises as to choice of statistical analysis strategies, reliability of measurements and identifiability of models, and interpretation and presentation of statistical results. - Builds and sustains collaborative relationships with individuals in different disciplines and serves as subject-matter expert for research teams, internal and external committees, and other constituencies and collaborators. - Assists in the preparation of clinical trial documents and reports, protocols, investigator brochures, scientific abstracts, peer-reviewed manuscripts, and responses to requests from regulatory agencies, local Institutional Review Board, and other health authorities. - Reviews and analyzes safety reporting, biomarker analyses and other aspects of clinical trial monitoring. - Plans and documents computer data file structure; develops, programs, manages, and maintains complex statistical databases; performs or supervises data entry. - Uses a variety of advanced statistical software, methods, and techniques to gather, analyze, and interpret research data to derive useful information for research data; advises and assists in the development of inferences and conclusions, as appropriate. - Develops enhancements to statistical software, as appropriate, by programming new techniques; maintains knowledge of current and emerging trends in statistical analysis methodology. - Oversees and coordinates the work of statistical support staff, data entry staff, and/or students, as appropriate to the position, on a project, site, or operational basis.

1. Conduct a thorough analysis of business processes, performance data, and workflow inefficiencies to identify areas for improvement. 2. Design, plan, and execute continuous improvement projects that enhance efficiency, reduce costs, and improve quality. 3. Track the progress and outcomes of improvement initiatives by analysing key performance indicators (KPIs), conducting post-implementation reviews, and gathering feedback. 4. Promote a culture of continuous improvement within the organisation by engaging employees at all levels, providing training, and encouraging the adoption of best practices. 5. Work closely with cross-functional teams, including operations, quality, supply chain, and finance, to drive improvement initiatives. 6. Develop and implement process improvement methodologies, such as Lean, Six Sigma, and Kaisen, to systematically enhance business operations. 7. Facilitate workshops and training sessions to educate employees on continuous improvement tools and techniques. 8. Conduct benchmarking studies to compare organisational performance against industry standards and identify best practices. 9. Create detailed reports and presentations to communicate findings, recommendations, and project results to senior management. 10. Stay updated with the latest industry trends and advancements in continuous improvement methodologies to ensure the organisation remains competitive.

1. collect and analyse data from various sources to extract meaningful insights and inform business decisions. 2. design and create visualisations and dashboards to present data trends and findings to stakeholders. 3. clean, preprocess, and organise data to ensure accuracy and readiness for analysis. 4. perform statistical analysis using tools like Excel and Python to uncover patterns, correlations, and trends in data sets. 5. collaborate with cross-functional teams to understand data requirements and deliver actionable insights. 6. automate data collection and analysis processes to streamline operations and improve efficiency. 7. conduct data quality assessments and implement data cleansing techniques to maintain data integrity. 8. utilise machine learning and predictive modeling techniques to forecast trends and outcomes. 9. stay updated on data analysis techniques and tools to enhance analytical capabilities. 10. communicate findings and recommendations to non-technical stakeholders in a clear and understandable manner.

1. analyse large datasets using statistical methods and machine learning techniques to extract actionable insights. 2. develop predictive models and algorithms to forecast trends, behavior patterns, and business outcomes. 3. create visualisations and reports to communicate findings and recommendations to stakeholders. 4. implement machine learning models and algorithms for tasks such as image recognition, natural language processing, or recommendation systems. 5. collaborate with cross-functional teams to identify opportunities for data-driven solutions and business improvements. 6. clean and preprocess data to prepare it for analysis and modeling. conduct exploratory data analysis to understand patterns, trends, and anomalies in data. 7. evaluate and select appropriate machine learning models and techniques for specific problems. 8. deploy and maintain machine learning models in production environments. 9. stay updated on advancements in machine learning, artificial intelligence, and data science methodologies.

- Designing mechanical components and systems for medical devices. - Creating detailed mechanical drawings and specifications using CAD software. - Developing prototypes and conducting feasibility studies for new device concepts. - Applying knowledge of materials science to select appropriate materials for device components. - Conducting research to improve existing medical devices or develop new technologies.- Staying abreast of latest trends in medical device tech and mechanical engineering. - Exploring innovative solutions to complex mechanical problems in medical devices.- Performing mechanical testing to ensure devices meet required specifications and standards. - Validating the mechanical design and performance of medical devices.- Conducting stress analysis, thermal analysis, and fluid dynamics simulations. - Ensuring that medical devices comply with industry standards, such as ISO 13485.- Understanding and applying relevant mechanical engineering standards and best practices. - Preparing technical documentation for regulatory submissions and audits.- Implementing quality control measures during the manufacturing process. - Performing root cause analysis on mechanical failures and implementing corrective actions.- Overseeing production process to ensure mechanical components meet standards. - Working with cross-functional teams to ensure the integration of all system components.- Collaborating with manufacturing, quality, and regulatory teams to ensure project success. - Communicating with suppliers to source components and materials.- Managing projects related to development and manufacturing of mechanical systems for medical devices. - Planning and coordinating project timelines, resources, and budgets.- Leading or participating in design reviews, project meetings, and milestone assessments. - Providing technical support for medical devices throughout their lifecycle.- Creating and maintaining technical documentation - Training staff and end-users on the mechanical aspects of medical devices. - Identifying potential safety issues related to mechanical systems and implementing risk mitigation strategies. - Ensuring that medical devices meet patient safety standards and minimize risk to users. - Analyzing performance data to identify opportunities for improvement in mechanical systems. - Implementing design changes to enhance device performance, durability, and cost-effectiveness.

- Conducting extensive research to understand the needs and requirements of the healthcare industry. - Staying up-to-date with the latest medical technologies and trends. - Identifying opportunities for new products or improvements to existing devices. - Generating ideas for new medical devices or enhancements to current designs. - Creating initial design concepts and prototypes. - Collaborating with cross-functional teams, including clinicians and other stakeholders, to refine product concepts. - Developing detailed design plans using computer-aided design (CAD) software. - Performing engineering analysis, including stress tests, fluid dynamics, and material selection. - Ensuring that designs meet industry standards, regulatory requirements, and are optimized for manufacturability. - Creating physical or virtual prototypes of new devices. - Conducting rigorous testing to evaluate the safety, functionality, and performance of prototypes. - Analyzing test results and making necessary modifications to designs. - Understanding and adhering to regulatory standards such as FDA (Food and Drug Administration) guidelines, ISO (International Organization for Standardization) standards, and other relevant certifications. - Preparing documentation and submissions for regulatory approval of new devices. - Working closely with other engineers, product managers, quality assurance teams, and manufacturing personnel. - Communicating with external partners, suppliers, and vendors. - Presenting design concepts and progress updates to management and stakeholders. - Managing timelines and resources for R&D projects. - Ensuring projects stay within budget and meet deadlines. - Overseeing the transition from design to production. - Implementing quality control measures throughout the design and development process. - Addressing any issues that arise during the production of medical devices. - Continuously improving quality standards for products and processes. - Maintaining detailed records of design iterations, testing data, and project progress. - Creating files and design dossiers for regulatory submissions and patent applications. - Attending conferences, workshops, and training sessions to enhance professional skills. - Keeping abreast of advancements in medical technology and engineering practices. - Contributing to scientific papers and industry publications, if applicable.